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IDEXX Data Security Architect

Portland, Maine
Engineering - Architecture
#802785
Remote / WFH
IDEXX

Job Description

Job highlights
Identified by Google from the original job post
Qualifications
Platform evolution (Snowflake, AWS, etc.)
7-10+ years experience in: Data security, cloud security, or security architecture
Location: this role is 100% virtual/remote, based in the US only, with a strong preference for EST time zone
Strong experience designing security for:
Cloud-native data platforms (Snowflake, Databricks)
Enterprise identity systems (Entra ID)
Proven ability (via outcomes) to design and scale:
Data classification and tagging models
Access control models (RBAC, ABAC)
Experience working across:
Data engineering
Application engineering
Cloud platform teams
Data protection architecture and lifecycle management
Working familiarity with:
DSPM tools (e.g., Cyera, BigID, etc.)
CASB/DLP platforms (M365, endpoint, etc.)
Data catalog and governance tools (e.g., Alation)
Encryption, tokenization, and data masking techniques
Data access governance models and patterns
Understanding of regulatory frameworks relevant to IDEXX (GDPR, SOC2, PCI DSS)
Leadership & Professional Skills
Strong architectural thinking and system design capability
Predilection towards action to achieve outcomes and refine design
Ability to translate business data risk into technical architecture
Excellent collaboration skills across engineering and security domains
Ability to communicate via architectural diagrams, whitepapers, presentations
Strong communication skills to:
Influence technical and non-technical stakeholders
Align teams on architecture and standards
Experience implementing enterprise data security or DSPM programs
Background working with data engineering or analytics teams
Experience designing controls in Snowflake or similar platforms
Certifications (AWS Certified Solutions Architect, CISSP, CCSP, etc.)
Benefits
Base annual salary target: $120000 - $155000 (yes, we do have flexibility if needed)
Opportunity for annual cash bonus
Health / Dental / Vision Benefits Day-One
5% matching 401k
Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more!
Responsibilities
The Data Security Architect is responsible for defining the enterprise architecture, control patterns, and design standards for protecting sensitive data across IDEXX’s platforms, including Snowflake, Databricks, M365, Box, and cloud applications (AWS-first)
This role ensures that data security capabilities—such as DSPM, DLP, and data platform controls—are designed correctly, integrated across systems, and scalable, enabling consistent protection of sensitive data across the enterprise
This is a design and architecture leadership role, focused on the “how” of data protection, not day-to-day program execution or tool operations
Data Security Architecture & Design
Define the enterprise data security architecture, including:
Data discovery and classification (DSPM integration)
DLP/CASB control strategy (M365, Box, endpoint)
Data platform security controls (Snowflake, Databricks)
Application/API data protection patterns (cloud-first)
Establish standard control patterns, including:
Data classification and tagging models
Encryption, tokenization, and masking strategies
Data access control models (RBAC, ABAC, RLS)
Data movement and sharing controls
Ensure consistency and scalability of data protection across SaaS, cloud, and application environments
Platform Integration & Control Alignment
Design and drive integration across:
Snowflake and Alation (data catalog and ownership mapping)
Entra ID (identity-driven access controls and policy enforcement)
M365 and Box (data loss prevention and collaboration controls)
Cloud environments (AWS, Azure, GCP)
Ensure alignment between:
Data platform controls
Translate data risk insights into technical control implementation requirements
Reference Architecture & Engineering Enablement
Develop and maintain a Data Security Reference Architecture
Define secure design patterns and implementation guidance for:
Data engineering teams
Application development teams
Cloud platform teams
Enable engineering teams to embed data protection into systems and workflows, rather than relying solely on downstream tooling
Collaboration with Program & Engineering Teams
Data Security Program Lead (execution and governance)
Data Security Engineering Lead (implementation delivery)
Cyber Defense / SOC teams (operational integration)
Provide architectural direction and design input while ensuring:
Execution teams can implement effectively
Controls remain aligned to risk priorities
Standards, Governance & Continuous Improvement
Define and evolve data protection standards aligned to:
Data Management Policy (classification, handling, retention)
Regulatory requirements (HIPAA, GDPR, etc.)
Evaluate emerging capabilities and tools:
DSPM platforms
DLP/CASB solutions
Data platform-native controls
Continuously improve architecture based on:
New data risks
Feedback from operations and engineering
SaaS and collaboration environments (M365, Box)
Data protection controls (DLP, masking, encryption)
Job description
The Data Security Architect is responsible for defining the enterprise architecture, control patterns, and design standards for protecting sensitive data across IDEXX’s platforms, including Snowflake, Databricks, M365, Box, and cloud applications (AWS-first).

This role ensures that data security capabilities—such as DSPM, DLP, and data platform controls—are designed correctly, integrated across systems, and scalable, enabling consistent protection of sensitive data across the enterprise.

This is a design and architecture leadership role, focused on the “how” of data protection, not day-to-day program execution or tool operations.

In this role, you will be responsible for…
• Data Security Architecture & Design
• Define the enterprise data security architecture, including:
• Data discovery and classification (DSPM integration)
• DLP/CASB control strategy (M365, Box, endpoint)
• Data platform security controls (Snowflake, Databricks)
• Application/API data protection patterns (cloud-first)
• Establish standard control patterns, including:
• Data classification and tagging models
• Encryption, tokenization, and masking strategies
• Data access control models (RBAC, ABAC, RLS)
• Data movement and sharing controls
• Ensure consistency and scalability of data protection across SaaS, cloud, and application environments

Platform Integration & Control Alignment
• Design and drive integration across:
• Snowflake and Alation (data catalog and ownership mapping)
• Entra ID (identity-driven access controls and policy enforcement)
• M365 and Box (data loss prevention and collaboration controls)
• Cloud environments (AWS, Azure, GCP)
• Ensure alignment between:
• DSPM findings
• DLP policies
• Data platform controls
• Translate data risk insights into technical control implementation requirements

Reference Architecture & Engineering Enablement
• Develop and maintain a Data Security Reference Architecture
• Define secure design patterns and implementation guidance for:
• Data engineering teams
• Application development teams
• Cloud platform teams
• Enable engineering teams to embed data protection into systems and workflows, rather than relying solely on downstream tooling

Collaboration with Program & Engineering Teams
• Partner with:
• Data Security Program Lead (execution and governance)
• Data Security Engineering Lead (implementation delivery)
• Cyber Defense / SOC teams (operational integration)
• Provide architectural direction and design input while ensuring:
• Execution teams can implement effectively
• Controls remain aligned to risk priorities

Standards, Governance & Continuous Improvement
• Define and evolve data protection standards aligned to:
• Data Management Policy (classification, handling, retention)
• Regulatory requirements (HIPAA, GDPR, etc.)
• Evaluate emerging capabilities and tools:
• DSPM platforms
• DLP/CASB solutions
• Data platform-native controls
• Continuously improve architecture based on:
• New data risks
• Platform evolution (Snowflake, AWS, etc.)
• Feedback from operations and engineering

What You Will Need To Succeed...
• 7-10+ years experience in: Data security, cloud security, or security architecture
• Location: this role is 100% virtual/remote, based in the US only, with a strong preference for EST time zone.
• Strong experience designing security for:
• Cloud-native data platforms (Snowflake, Databricks)
• SaaS and collaboration environments (M365, Box)
• Enterprise identity systems (Entra ID)
• Proven ability (via outcomes) to design and scale:
• Data classification and tagging models
• Data protection controls (DLP, masking, encryption)
• Access control models (RBAC, ABAC)
• Experience working across:
• Data engineering
• Application engineering
• Cloud platform teams

Technical Expertise
• Deep understanding of:
• Data protection architecture and lifecycle management
• Data platforms (Snowflake strongly preferred)
• Cloud environments (AWS preferred; Azure/GCP familiarity)
• Working familiarity with:
• DSPM tools (e.g., Cyera, BigID, etc.)
• CASB/DLP platforms (M365, endpoint, etc.)
• Data catalog and governance tools (e.g., Alation)
• Knowledge of:
• Encryption, tokenization, and data masking techniques
• Data access governance models and patterns
• Understanding of regulatory frameworks relevant to IDEXX (GDPR, SOC2, PCI DSS)

Leadership & Professional Skills
• Strong architectural thinking and system design capability
• Predilection towards action to achieve outcomes and refine design
• Ability to translate business data risk into technical architecture
• Excellent collaboration skills across engineering and security domains
• Ability to communicate via architectural diagrams, whitepapers, presentations
• Strong communication skills to:
• Influence technical and non-technical stakeholders
• Align teams on architecture and standards

It would be a plus if you had any of these...
• Experience implementing enterprise data security or DSPM programs
• Background working with data engineering or analytics teams
• Experience designing controls in Snowflake or similar platforms
• Certifications (AWS Certified Solutions Architect, CISSP, CCSP, etc.)

What You Can Expect From Us
• Base annual salary target: $120000 - $155000 (yes, we do have flexibility if needed)
• Opportunity for annual cash bonus
• Health / Dental / Vision Benefits Day-One
• 5% matching 401k
• Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more!

Why IDEXX?

We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from diseases. We have customers in over 175 countries and a global workforce of over 10,000 talented people.

So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery.   At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

Let’s pursue what matters together.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, ****** orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws
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